Arkadiusz Janz

15 papers receiving 438 citations

Hit Papers

ChatGPT: Jack of all trades, master of none20232026202420252023100200300

Peers

Arkadiusz Janz
Comparison fields: 5 of 99
  • Artificial Intelligence 297
  • Health Informatics 119
  • Radiology, Nuclear Medicine and Imaging 46
  • Sociology and Political Science 36
  • Information Systems 36
Replace Marcin Oleksy with:
Marcin Oleksy Poland
Konrad Wojtasik Poland
Julita Bielaniewicz Poland
Kamil Kanclerz Poland
Łukasz Radliński Poland
Mateusz Kochanek Poland
Oliwier Kaszyca Poland
Igor Cichecki Poland
Bartłomiej Koptyra Poland
Stanisław Woźniak Poland
Arkadiusz Janz relative to Marcin Oleksy Poland Marcin Oleksy's profile →
Citations per field
00.5×1.5×
Marcin Oleksy · 1×
Citations per year

Countries citing papers authored by Arkadiusz Janz

Since Specialization
Citations

This map shows the geographic impact of Arkadiusz Janz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arkadiusz Janz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arkadiusz Janz more than expected).

Fields of papers citing papers by Arkadiusz Janz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arkadiusz Janz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arkadiusz Janz. The network helps show where Arkadiusz Janz may publish in the future.

Co-authorship network of co-authors of Arkadiusz Janz

This figure shows the co-authorship network connecting the top 25 collaborators of Arkadiusz Janz. A scholar is included among the top collaborators of Arkadiusz Janz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arkadiusz Janz. Arkadiusz Janz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 6
3
ChatGPT: Jack of all trades, master of nonebreakdown →
373
4 24
5 1
6 1
7 11
8 8
9 0
10 3
11 3
12 5
13 5
14
Classifier-based Polarity Propagation in a WordNet
10
15 2
16 1
17 9
18 1
19
Word Embeddings for Polish
2

About Arkadiusz Janz

Arkadiusz Janz is a scholar working on Health Informatics, Artificial Intelligence and Linguistics and Language, having authored 19 papers that have together received 465 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers) and Sentiment Analysis and Opinion Mining (4 papers). The work is most often cited by research in Health Informatics (119 citations), Artificial Intelligence (297 citations) and Computer Science Applications (31 citations). Arkadiusz Janz has collaborated with scholars based in Poland and United States. Frequent co-authors include Maciej Piasecki, Jan Kocoń, Bartłomiej Koptyra, Piotr Miłkowski, Przemysław Kazienko, Marcin Gruza, Joanna Baran, Konrad Wojtasik, Oliwier Kaszyca and A. Kocoń. Their work appears in journals such as Information Fusion, Behavior Research Methods and Language Resources and Evaluation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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